Sentence examples for malignancy maps from inspiring English sources

Example slices through the center of the tumor in the malignancy maps of Subject 2 are shown in Fig. 2. Notice that the probability of malignancy in the tumor region decreases significantly over time; by the last time point (post-chemotherapy, pre-surgery), the probability of malignancy has only a few scattered non-zero regions.

(Note, parameters, i.e., β⃗, are derived from the various training sets using the approach in our previous work, Ref. [ 11].) We employed the optimized weighting vector, β⃗ (Section 3.1), to generate a 3D malignancy parameter map for each time point with Z-scores normalized by healthy-tissue at a pre-/early-chemotherapy time point (e.g., Eqn. (4)).

The goal of this approach is not to diagnose malignancy but to map its extent.

The aim of this study was to test all existing mapping algorithms of QLQ-C30 onto EQ-5D, in a dataset of patients with malignant pleural mesothelioma, an invariably fatal malignancy where no previous mapping estimation has been published.

Although the incidence of such cases is unknown, this report highlights the issue of patients' positions during chest CT screening for prior malignancy and during VAL-MAP.

This paper focuses on the more commonly encountered primary orbital malignancies and the mapping of tumour spread into the orbits.

In the only study published so far that begins to test the hypothesis that common CNVs are associated with malignancy, we [ 18] created a map of every known CNV whose locus coincides with that of bona fide cancer-related genes (as catalogued by [ 19]); we called these cancer CNVs.

The procedure described in the previous section produces a 3D map of the probability of malignancy at each time point during chemotherapy.

Direct comparison between rCBV mapping and other indicators of malignancy such as fluorodeoxylucose PET shows close agreement between local rCBV values and glucose uptake and significant correlation between maximal glucose uptake and rCBV[ 88 ].

DECT can provide helpful information for the characterization and staging of thoracic malignancy by quantitatively measuring iodine enhancement on iodine maps or monochromatic imaging.

Here, we generated epigenome-wide maps of the earliest phase of breast malignancy and show long-range epigenetic deregulation and coordinated DNA hypermethylation targets loci regulated by key transcription factors.